Detection of Acromegaly From Facial Images Using Machine Learning : A Comparison With Clinical Experts
Context Substantial diagnostic delay in acromegaly contributes to increased morbidity and mortality. Screening attempts in high-risk groups have yielded few positive cases, underscoring the need for simple and precise prescreening methods. Objective Machine-learning analysis of facial images shows promise for acromegaly detection but requires validation in larger, well-characterized cohorts using
